llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

spatial reasoning benchmark

ARKitScenes Leaderboard

ARKitScenes evaluates 3D scene understanding and spatial reasoning in AR/VR contexts.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Top models
  • About
  • FAQ

ARKitScenes Ranking

Higher score ranks better on this benchmark.

1 row
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore0.54 pointsPercentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

ARKitScenes Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3 VL 235B A22B Thinking0.54 points

The Top AI Models for ARKitScenes

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis arkitscenes AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Alibaba Cloud / Qwen Team
    Score
    0.54 points

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARKitScenes, not total model capability

Selection summary

Best AI Models for ARKitScenes

Qwen3 VL 235B A22B Thinking currently leads ARKitScenes with 0.54 points. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

What is ARKitScenes?

What ARKitScenes measures and how its scores work.

ARKitScenes is a benchmark for 3D scene understanding and spatial reasoning in AR/VR contexts.

It measures performance using the Score metric, reported in points.

Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.

Family
ARKitScenes
Modality
multimodal
Primary category
spatial reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about ARKitScenes.

Which model scores highest on ARKitScenes?

Qwen3 VL 235B A22B Thinking is currently ranked first with 0.54 points.

What are the top three models on ARKitScenes?

The current leaders are Qwen3 VL 235B A22B Thinking (0.54 points).

Which ARKitScenes model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among ARKitScenes results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does ARKitScenes measure?

It measures performance using the Score metric, reported in points.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Qwen3 VL 235B A22B Thinking
Benchmark rank #1Qwen3 VL 235B A22B Thinking0.54 points